ErdÖs,Jacobson和Lehel的蕴含Pk可图序列猜想

研究经典的Turan极图问题的一种变形.证明了ErdÖs,Jacobson和Lehel关于蕴含P_k可图序列的猜想是正确的.     

SBN晶体中Eu3+激发态的能量传递

通过选择激发SBN晶体中处于不同晶场位的Eu³⁺离子,得到⁵D₀→⁷F₁的时间分辨荧光光谱,确定了不等价晶场位的离子间的能量转移速率。荧光峰随激发波数的变化表明局部晶场的连续畸变。 关键词：     

液膜气泡法测洗涤溶液的表面张力系数

利用自制装置采用液膜气泡法测定了洗涤溶液的表面张力系数．由医用注射器充气形成球形液泡，通过与之连通的微压计测出液泡内外的压强差，运用杨氏-普拉斯方程计算出洗涤溶液的表面张力系数.     

油水驱动半正定问题迎风混合元格式及其数值分析

研究了不可压缩油水两相渗透流驱动问题.在扩散矩阵仅是半正定的假设条件下,提出了迎风混合元方法.混合元方法近似压力方程,饱和度方程的对流项用Godunov迎风格式来处理,扩散项则用推广的混合元来逼进,并推导出格式的误差估计.此种格式的优越性表现在两个方面:首先是饱和度方程的扩散矩阵仅是半正定的;二是摒弃了特征格式所限制的周期性条件,更适用于实际问题.     

高压氮气亚纳秒开关放电特性实验研究

 利用幅值约220 kV、脉宽约4 ns的高压纳秒脉冲源，对高压氮气亚纳秒气体开关放电特性进行了实验研究。实验结果表明：当气压在3~10 MPa间变化，间隔距离在0.6~1.2 mm间变化时，氮气间隙击穿电压随气压和间隙距离的增大而增大，并随气压的增大略呈饱和趋势,最高击穿电场约为2 MV/cm。开关输出电压波形的上升时间变化范围为145~190 ps，该上升时间随气压、击穿电场以及间隙距离增大而减小。     

量子Euclid空间上的实结构和微分运算

本文讨论量子(q形变)Euclid空间上的实结构问题.在c*代数的框架内,通过区分左右微商运算,我们在N维量子Euclid 空间上构造了一种与微分运算相协调的实结构.这种构造方法也适用于量子Minkowski 空间的情况。     

Blue/green light‐emitting diode based on diethyl[N‐arylmethylenethiobenzahydrazonato]gallium complexes

Three diethylgallium complexes of type Et₂GaL [L = N‐(4‐methoxy) benzylidenethiobenzahydrazonato ( 1 ), N‐(4‐N,N‐dimethylamino)benzy lidenethiobenzahydrazonato ( 2 ) and N‐(9‐anthryl)methylenethio benzahydrazonato ( 3 )] were synthesized by the reaction of triethylgallium with appropriate N‐arylmethylenethiobenzahydrazones. The compounds obtained were characterized by elemental analysis, ¹H NMR, IR and mass spectroscopy, respectively. Monolayer light‐emitting diodes based on the diethyl[N‐arylmethylenethio benzahydrazonato]gallium doped poly(vinylcarbazole) were fabricated using a spin coating method. The photoluminescent and electroluminescent emission spectra of 1 and 3 were measured (429 and 479 nm for 1 and 3 , respectively). The electroluminescent properties of 1 and 3 were also studied. The electroluminscence bands are located in the blue/green region (465 and 510 nm for complexes 1 and 3 , respectively). Copyright © 2006 John Wiley & Sons, Ltd.     

Neural Approach for Calculating Permeability of Porous Medium

Permeability is one of the most important properties of porous media. It is considerably difficult to calculate reservoir permeability precisely by using single well-logging response and simple formula because reservoir is of serious heterogeneity, and well-logging response curves are badly affected by many complicated factors underground. We propose a neural network method to calculate permeability of porous media. By improving the algorithm of the back-propagation neural network, convergence speed is enhanced and better results can be achieved. A four-layer back-propagation network is constructed to effectively calculate permeability from well log data. Spontaneous potential, resistivity of deep lateral log, resistivity of micro-gradient log, resistivity of micro-normal log, Interval transit time of acoustic log and resistivity of shallow lateral log are selected as the inputs, and permeability is selected as the output. There are 35 and 40 units used in the two hidden layers, respectively. During the training course, the correlation coefficient between the calculated permeability and the standard pattern is as high as 0.9937, the average absolute error between them is 0.046μm^2 and the average relative error is only 1.93%. for practical applications, the average relative error between the calculated permeability and actual permeability is also as low as about 10.0%.